CN116386832B - Medical equipment monitoring analysis management cloud system based on artificial intelligence - Google Patents
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Abstract
The invention relates to the field of medical equipment monitoring analysis management, in particular to a medical equipment monitoring analysis management cloud system based on artificial intelligence, which is used for evaluating image quality from various aspects of data by analyzing the image quality qualification index of each medical image equipment to provide more accurate and objective results; the normal operation of the equipment is ensured by evaluating the working state coincidence index of each medical imaging equipment; detecting safety performance parameters of each medical image device, analyzing safety performance standard indexes of each medical image device, and ensuring the use safety of the device; the image quality qualification index and the working state compliance index of each medical image device and the safety performance compliance index are integrated, the fault medical image device and the medical image device to be maintained are counted, the normal operation of the device is ensured, the medical quality is improved, the service life of the device is prolonged, and the requirement for changing the device is reduced through the monitoring management of the medical image device.
Description
Technical Field
The invention relates to the field of medical equipment monitoring analysis management, in particular to a medical equipment monitoring analysis management cloud system based on artificial intelligence.
Background
The medical imaging device is generally used for diagnosing and treating diseases, if the device is faulty or damaged, a doctor cannot accurately diagnose the disease condition, or even can not find some diseases or abnormal conditions of a patient, and the accuracy and reliability of a medical process cannot be ensured, so that the medical quality cannot be ensured, and the treatment effect of the patient is further affected. Therefore, it is very important to detect, repair and maintain medical imaging equipment in hospitals regularly, so as to ensure normal operation of the equipment, prolong the service life of the equipment and improve the medical quality.
The existing medical imaging equipment monitoring and managing method has some defects: 1. the existing method mainly comprises the steps of directly observing the image of the medical image equipment through human eyes, judging whether the image has enough characteristics of definition, contrast, brightness and the like, and further evaluating the performance of the medical image equipment, but the method only evaluates whether the performance of the equipment is healthy in terms of image quality, is single in index, is strong in subjectivity, is easily influenced by factors such as visual fatigue of human eyes and is low in accuracy and reliability of evaluation results.
2. The working state of the medical imaging equipment is not subjected to targeted analysis, the working state is one of important indexes for evaluating the performance of the medical imaging equipment, and if the working state of the medical imaging equipment does not reach the standard, the equipment can not be normally used, so that the examination and diagnosis processes of a patient are delayed, and even the patient is possibly injured.
3. Lack of deep analysis of safety of medical imaging equipment is also one of important indexes for evaluating performance of medical imaging equipment, and if safety performance of medical imaging equipment does not reach standards, damage to medical staff and patients may occur, for example, damage to human tissues and organs may occur due to excessive radiation level.
4. The existing method mainly monitors whether the medical imaging equipment has faults or not for maintenance, does not consider the current situation that the equipment has no faults but the hidden trouble of the faults possibly exists and needs to be maintained in time, and cannot prevent the faults, so that the base number of the fault equipment and the cost of a medical institution cannot be reduced.
Disclosure of Invention
Aiming at the problems, the invention provides a medical equipment monitoring analysis management cloud system based on artificial intelligence, which realizes the function of monitoring analysis management on medical equipment.
The technical scheme adopted for solving the technical problems is as follows: the invention provides a medical equipment monitoring analysis management cloud system based on artificial intelligence, which comprises: the medical imaging equipment image information acquisition module: the method is used for acquiring image information of each medical image device in the target hospital, wherein the image information comprises an image contrast coefficient, an image resolution coefficient and an image color reproducibility coefficient.
The medical image equipment image information analysis module: and the image quality qualification index of each medical image device is analyzed according to the image information of each medical image device.
The medical imaging equipment working state monitoring module: the system is used for monitoring the operation data of each medical image device, wherein the operation data comprises an image acquisition stability coefficient and an image acquisition rapidity coefficient.
The medical imaging equipment working state evaluation module: and the system is used for evaluating the working state coincidence index of each medical image device according to the operation data of each medical image device.
Medical imaging equipment security performance detection module: the safety performance parameters are used for detecting the safety performance parameters of each medical imaging device, wherein the safety performance parameters comprise an emissivity coefficient and an appearance perfection coefficient.
The medical imaging equipment safety performance analysis module: the safety performance standard index analysis module is used for analyzing the safety performance standard index of each medical image device according to the safety performance parameters of each medical image device.
The medical imaging equipment comprehensive processing module: and the system is used for counting and processing the medical image equipment set and the medical image equipment set to be maintained corresponding to each fault type according to the image quality qualification index, the working state coincidence index and the safety performance coincidence index of each medical image equipment.
Database: the system is used for storing standard images of a reference object and standard images of a monitoring area of a test object and storing historical maintenance records of each medical image device, wherein the historical maintenance records comprise historical maintenance times and historical part replacement times.
Based on the above embodiment, the specific analysis process of the image information acquisition module of the medical imaging device is as follows:: and selecting a reference object according to a preset principle, acquiring images of the reference object shot by each medical image device, and recording the images as analysis images of each medical image device.
The gray value of each pixel point in the analysis image of each medical image equipment is obtained by utilizing the image processing technology and is recorded as，/>Indicate->Number of individual medical imaging devices,/->，/>Indicate->The number of the individual pixels is determined,acquiring gray values of adjacent pixels corresponding to the pixels in the analysis image of each medical imaging device, and marking the gray values as +.>，/>Indicate->Numbering of adjacent pixels, +.>The number of adjacent pixels corresponding to each pixel in the analysis image of each medical image equipment is obtained and is marked as +.>。
By analysis of formulasObtaining the image contrast ratio of each medical image device>Wherein->Representing a preset image contrast factor correction factor, < ->Representing a preset image contrast threshold.
: acquiring the number of pixel points on each frame line and the length of each frame line in each medical image equipment analysis image, and respectively marking the number of pixel points and the length of each frame line as +.>And->，/>Indicate->Numbering of the border lines->By analysis of the formulaObtaining the image resolution coefficient of each medical image device>Wherein->Representing a preset image resolution factor correction factor, < ->Representing a preset image resolution threshold, +.>Representing the number of border lines of the analysis image.
: acquiring RGB values of pixel points in the analysis images of the medical imaging devices, further acquiring areas to be analyzed in the analysis images of the medical imaging devices, and marking the RGB values of the areas to be analyzed in the analysis images of the medical imaging devices as the RGB values of the areas to be analyzed in the analysis images of the medical imaging devices，/>Indicate->Number of the individual regions to be analyzed,/->。
Extracting standard images of reference objects stored in a database, acquiring RGB values of corresponding areas of each area to be analyzed in the reference object standard images in each medical image equipment analysis image, and marking the RGB values as the RGB values of the corresponding areas in the reference object standard images。
By analysis of formulasObtaining the image color reproducibility coefficient of each medical imaging device>Wherein->Representing a predetermined image color reducibility factor correction factor,/->Representing a preset image color tolerance.
The above-mentionedOn the basis of the embodiment, the specific analysis process of the image information analysis module of the medical imaging equipment is as follows: image contrast ratio of each medical image equipmentImage resolution factor->And image color reducibility coefficient->Substitution formula->Obtaining the image quality qualification index of each medical image device>Wherein->Representing natural constant->Threshold values respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>Weights respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>。
Based on the above embodiment, the specific analysis process of the medical imaging device working state monitoring module is as follows:: selecting a test object and a monitoring area of the test object according to a preset principle, enabling each medical imaging device to scan the monitoring area of the test object for a set number of times, and analyzing each scan of each medical imaging deviceTracing the matching degree of the image, and recording it as +.>，/>Indicate->Number of sub-scan,/->。
By analysis of formulasObtaining the image acquisition stability coefficient of each medical image device>，/>Indicate->Medical imaging device->Matching degree of sub-scan image,/>A threshold value representing a deviation between preset scan image matching degrees.
: acquiring the time length required by each medical imaging device to scan the monitoring area of the test object, and marking the time length as +.>。
By analysis of formulasObtaining the image acquisition rapidity coefficient of each medical image device>Wherein->Representing the required length of a single scan reference of a preset medical imaging device, < >>Indicating the allowable deviation of the preset scan required time period.
Based on the above embodiment, the specific analysis process of the working state evaluation module of the medical imaging device is as follows: image acquisition stability coefficient of each medical image equipmentAnd image acquisition rapidity coefficient +.>Substitution formulaObtaining the working state coincidence index of each medical imaging device>Wherein->Indicating that the preset working state accords with the index correction factor.
Based on the above embodiment, the specific analysis process of the security performance detection module of the medical imaging device is as follows:: setting the duration of a monitoring period, setting each sampling time point in the monitoring period according to a preset principle, acquiring the radiation dose of each medical imaging device at each sampling time point in the monitoring period by using a radiation measuring instrument, and marking the radiation dose as +.>，/>Indicate->Number of the sampling time points, +.>。
By analysis of formulasObtaining the radiation coefficient of each medical imaging device>Wherein->Represents the number of sampling time points, +.>Indicating a preset safe radiation dose +.>Indicate->The medical imaging device is +.>Radiation dose at each sampling time point.
: the rust area and the broken area of the insulating sheath of the lead wire of each medical imaging device were obtained and respectively marked as +.>Andby analysis formula->Obtaining the appearance perfection coefficient of each medical imaging device>Wherein->Respectively representing the preset influence factors corresponding to the unit rusting area and the unit wire insulation cover breakage area.
Based on the above embodiment, the specific analysis process of the security performance analysis module of the medical imaging device is: the emissivity of each medical imaging deviceAnd the appearance perfection coefficient->Substitution formula->Obtaining the safety performance standard index of each medical imaging device>Wherein->Respectively representing weights of a preset radiation coefficient and an appearance perfection coefficient.
On the basis of the above embodiment, the analysis process of the medical imaging device comprehensive processing module is as follows:: and acquiring a medical image equipment set corresponding to each fault type according to the image quality qualification index, the working state coincidence index and the safety performance coincidence index of each medical image equipment, and sending the medical image equipment set to an equipment fault management platform of a target hospital.
: acquiring each piece of medical imaging equipment without faults, recording the medical imaging equipment as each piece of appointed medical imaging equipment, acquiring the historical maintenance times, the historical part replacement times, the using time and the using times of each piece of appointed medical imaging equipment, analyzing to obtain the loss coefficient of each piece of appointed medical imaging equipment, and recording the loss coefficient as->，/>Indicate->The number of the medical imaging device is designated,。
according to the image quality qualification index, the working state coincidence index and the safety performance qualification index of each medical image device, screening to obtain the image quality qualification index, the working state coincidence index and the safety performance qualification index of each appointed medical image device, and respectively marking the image quality qualification index, the working state coincidence index and the safety performance qualification index as、/>And->。
By analysis of formulasObtaining the maintenance requirement coefficient of each appointed medical imaging device>Wherein->Respectively representing preset image qualityThreshold values for qualification index, working state compliance index and safety performance compliance index, < >>Weight values respectively representing a preset image quality qualification index, a working state compliance index and a safety performance compliance index>。
According to the maintenance requirement coefficients of the appointed medical image equipment, acquiring a medical image equipment set to be maintained, and sending the medical image equipment set to an equipment maintenance management platform of a target hospital.
Compared with the prior art, the medical equipment monitoring analysis management cloud system based on the artificial intelligence has the following beneficial effects: 1. according to the invention, the image contrast coefficient, the image resolution coefficient and the image color reducibility coefficient of each medical image device in the target hospital are obtained, the image quality qualification index of each medical image device is analyzed, and the image quality is analyzed from various data, so that a more accurate and objective evaluation result is provided.
2. According to the invention, the working state coincidence index of each medical image device is estimated by monitoring the image acquisition stability coefficient and the image acquisition rapidity coefficient of each medical image device, so that the normal use of the device is ensured, and the delay of the examination and diagnosis flow of a patient is prevented.
3. According to the invention, the radiation coefficient and the appearance perfection coefficient of each medical imaging device are detected, the safety performance standard index of each medical imaging device is analyzed, the use safety of the device is ensured, and the harm to medical staff and patients is avoided.
4. According to the image quality qualification index and the working state conformity index of each medical imaging device and the safety performance conformity index, the invention counts the fault medical imaging device and the medical imaging device to be maintained, and respectively maintains and maintains the fault device and the device with fault hidden danger, thereby preventing the fault, prolonging the service life of the device, reducing the requirement of changing the device and reducing the cost of a medical institution.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
FIG. 2 is a flow chart of the present invention.
Fig. 3 is a schematic view of pixel neighboring according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the invention provides a medical equipment monitoring analysis management cloud system based on artificial intelligence, which comprises a medical imaging equipment image information acquisition module, a medical imaging equipment image information analysis module, a medical imaging equipment working state monitoring module, a medical imaging equipment working state evaluation module, a medical imaging equipment safety performance detection module, a medical imaging equipment safety performance analysis module, a medical imaging equipment comprehensive processing module and a database.
The medical image equipment image information acquisition module is connected with the medical image equipment image information analysis module, the medical image equipment working state monitoring module is connected with the medical image equipment working state assessment module, the medical image equipment safety performance detection module is connected with the medical image equipment safety performance analysis module, the medical image equipment comprehensive processing module is respectively connected with the medical image equipment image information analysis module, the medical image equipment working state assessment module and the medical image equipment safety performance analysis module, and the database is respectively connected with the medical image equipment image information acquisition module, the medical image equipment working state monitoring module and the medical image equipment comprehensive processing module.
The medical image equipment image information acquisition module is used for acquiring image information of each medical image equipment in a target hospital, wherein the image information comprises an image contrast coefficient, an image resolution coefficient and an image color reproducibility coefficient.
Further, the specific analysis process of the image information acquisition module of the medical imaging device is as follows:: and selecting a reference object according to a preset principle, acquiring images of the reference object shot by each medical image device, and recording the images as analysis images of each medical image device.
The gray value of each pixel point in the analysis image of each medical image equipment is obtained by utilizing the image processing technology and is recorded as，/>Indicate->Number of individual medical imaging devices,/->，/>Indicate->The number of the individual pixels is determined,acquiring gray values of adjacent pixels corresponding to the pixels in the analysis image of each medical imaging device, and marking the gray values as +.>，/>Indicate->Numbering of adjacent pixels, +.>The number of adjacent pixels corresponding to each pixel in the analysis image of each medical image equipment is obtained and is marked as +.>。
By analysis of formulasObtaining the image contrast ratio of each medical image device>Wherein->Representing a preset image contrast factor correction factor, < ->Representing a preset image contrast threshold.
: acquiring the number of pixel points on each frame line and the length of each frame line in each medical image equipment analysis image, and respectively marking the number of pixel points and the length of each frame line as +.>And->，/>Indicate->Numbering of the border lines->By analysis of the formulaObtaining the image resolution coefficient of each medical image device>Wherein->Representing a preset image resolution factor correction factor, < ->Representing a preset image resolution threshold, +.>Representing the number of border lines of the analysis image.
: acquiring RGB values of pixel points in the analysis images of the medical imaging devices, further acquiring areas to be analyzed in the analysis images of the medical imaging devices, and marking the RGB values of the areas to be analyzed in the analysis images of the medical imaging devices as the RGB values of the areas to be analyzed in the analysis images of the medical imaging devices，/>Indicate->Number of the individual regions to be analyzed,/->。
Extracting standard images of reference objects stored in a database, acquiring RGB values of corresponding areas of each area to be analyzed in the reference object standard images in each medical image equipment analysis image, and marking the RGB values as the RGB values of the corresponding areas in the reference object standard images。
By analysis of formulasObtaining the image color reproducibility coefficient of each medical imaging device>Wherein->Representing a predetermined image color reducibility factor correction factor,/->Representing a preset image color tolerance.
Referring to fig. 3, in one embodiment, the pixel neighbors are four neighbors.
Referring to fig. 3, in one embodiment, the pixel neighbors are eight neighbors.
As a preferred solution, the method for obtaining each region to be analyzed in the image by each medical imaging device includes: the RGB values of all pixel points in the analysis images of all medical image equipment are obtained, all pixel points in the analysis images of all medical image equipment are classified according to the same RGB values, all pixel points corresponding to all RGB values in the analysis images of all medical image equipment are obtained, the area formed by all pixel points corresponding to all RGB values in the analysis images of all medical image equipment is further obtained, and the area is recorded as the area corresponding to all RGB values in the analysis images of all medical image equipment.
And marking the area corresponding to each RGB value in each medical image equipment analysis image as each area to be analyzed in each medical image equipment analysis image.
The medical image equipment image information analysis module is used for analyzing the image quality qualification index of each medical image equipment according to the image information of each medical image equipment.
Further, the specific analysis process of the image information analysis module of the medical imaging device is as follows: image contrast ratio of each medical image equipmentImage resolution factor->And image color reducibility coefficient->Substitution formulaObtaining the image quality qualification index of each medical image device>Wherein->Representing natural constant->Threshold values respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>Weights respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>。
The invention analyzes the image quality qualification index of each medical image device by acquiring the image contrast coefficient, the image resolution coefficient and the image color reproducibility coefficient of each medical image device in the target hospital, analyzes the image quality from various data, and provides more accurate and objective evaluation results.
The medical imaging equipment working state monitoring module is used for monitoring operation data of each medical imaging equipment, wherein the operation data comprise an image acquisition stability coefficient and an image acquisition rapidity coefficient.
Further, the specific analysis process of the medical imaging equipment working state monitoring module is as follows:: selecting a test object and a monitoring area of the test object according to a preset principle, enabling each medical imaging device to scan the monitoring area of the test object for a set number of times, analyzing the matching degree of each scanned image of each medical imaging device, and marking the matching degree as +.>，/>Indicate->Number of sub-scan,/->。
By analysis of formulasObtaining the image acquisition stability coefficient of each medical image device>，/>Indicate->Medical imaging device->Matching degree of sub-scan image,/>A threshold value representing a deviation between preset scan image matching degrees.
: acquiring the time length required by each medical imaging device to scan the monitoring area of the test object, and marking the time length as +.>。
By analysis of formulasObtaining the image acquisition rapidity coefficient of each medical image deviceWherein->Representing the required length of a single scan reference of a preset medical imaging device, < >>Indicating the allowable deviation of the preset scan required time period.
As a preferable scheme, the matching degree of each scanned image of each medical imaging device is analyzed, and the specific process is as follows: and acquiring images of the monitoring area of the object to be tested by each scanning of each medical imaging device.
The standard images of the test object monitoring areas stored in the database are extracted, the images of the test object monitoring areas scanned by the medical image devices for each time are compared with the standard images of the test object monitoring areas, the coincidence degree of the images of the test object monitoring areas scanned by the medical image devices for each time and the standard images of the test object monitoring areas is obtained, and the coincidence degree is recorded as the matching degree of the images scanned by the medical image devices for each time.
The medical imaging equipment working state evaluation module is used for evaluating the working state coincidence index of each medical imaging equipment according to the operation data of each medical imaging equipment.
Further, the specific analysis process of the medical imaging equipment working state evaluation module is as follows: image acquisition stability coefficient of each medical image equipmentAnd image acquisition rapidity coefficient +.>Substitution formulaObtaining the working state coincidence index of each medical imaging device>Wherein->Indicating that the preset working state accords with the index correction factor.
The invention evaluates the working state coincidence index of each medical image device by monitoring the image acquisition stability coefficient and the image acquisition rapidity coefficient of each medical image device, ensures the normal use of the device and prevents delay of the examination and diagnosis flow of a patient.
The medical imaging equipment safety performance detection module is used for detecting safety performance parameters of each medical imaging equipment, wherein the safety performance parameters comprise an emissivity coefficient and an appearance perfection coefficient.
Further, the specific analysis process of the medical imaging equipment safety performance detection module is as follows:: setting the duration of a monitoring period, setting each sampling time point in the monitoring period according to a preset principle, acquiring the radiation dose of each medical imaging device at each sampling time point in the monitoring period by using a radiation measuring instrument, and marking the radiation dose as +.>，/>Indicate->Number of the sampling time points, +.>。
By analysis of formulasObtaining the radiation coefficient of each medical imaging device>Wherein->Represents the number of sampling time points, +.>Indicating a preset safe radiation dose +.>Indicate->The medical imaging device is +.>Radiation dose at each sampling time point.
: the rust area and the broken area of the insulating sheath of the lead wire of each medical imaging device were obtained and respectively marked as +.>Andby analysis formula->Obtaining the appearance perfection coefficient of each medical imaging device>Wherein->Respectively representing the preset influence factors corresponding to the unit rusting area and the unit wire insulation cover breakage area.
As a preferred option, the radiation measuring instrument includes, but is not limited to, a dosimeter.
As a preferred solution, the medical imaging device is in operation when measuring the radiation dose.
As a preferable scheme, the rusting area of the medical imaging device refers to the sum of rusting areas of all parts of the medical imaging device, and the broken area of the wire insulation cover of the medical imaging device refers to the sum of broken areas of all parts of the wire insulation cover of the medical imaging device.
The medical imaging equipment safety performance analysis module is used for analyzing the safety performance standard index of each medical imaging equipment according to the safety performance parameters of each medical imaging equipment.
Further, the specific analysis process of the safety performance analysis module of the medical imaging equipment is as follows: the emissivity of each medical imaging deviceAnd the appearance perfection coefficient->Substitution formula->Obtaining the safety performance standard index of each medical imaging device>Wherein->Respectively representing weights of a preset radiation coefficient and an appearance perfection coefficient.
The invention analyzes the safety performance standard index of each medical imaging device by detecting the radiation coefficient and the appearance perfection coefficient of each medical imaging device, ensures the use safety of the device and avoids the harm to medical staff and patients.
The medical image equipment comprehensive processing module is used for counting and processing a medical image equipment set and a medical image equipment set to be maintained corresponding to each fault type according to the image quality qualification index, the working state coincidence index and the safety performance achievement index of each medical image equipment.
Further, the analysis process of the medical imaging equipment comprehensive processing module is as follows:: and acquiring a medical image equipment set corresponding to each fault type according to the image quality qualification index, the working state coincidence index and the safety performance coincidence index of each medical image equipment, and sending the medical image equipment set to an equipment fault management platform of a target hospital.
: acquiring each piece of medical imaging equipment without faults, recording the medical imaging equipment as each piece of appointed medical imaging equipment, acquiring the historical maintenance times, the historical part replacement times, the using time and the using times of each piece of appointed medical imaging equipment, analyzing to obtain the loss coefficient of each piece of appointed medical imaging equipment, and recording the loss coefficient as->，/>Indicate->The number of the medical imaging device is designated,。
according to the image quality qualification index, the working state coincidence index and the safety performance qualification index of each medical image device, screening to obtain the image quality qualification index, the working state coincidence index and the safety performance qualification index of each appointed medical image device, and respectively marking the image quality qualification index, the working state coincidence index and the safety performance qualification index as、/>And->。
By analysis of formulasObtaining the maintenance requirement coefficient of each appointed medical imaging device>Wherein->Threshold values respectively representing preset image quality qualification index, working state compliance index and safety performance compliance index, ++>Weight values respectively representing a preset image quality qualification index, a working state compliance index and a safety performance compliance index>。
According to the maintenance requirement coefficients of the appointed medical image equipment, acquiring a medical image equipment set to be maintained, and sending the medical image equipment set to an equipment maintenance management platform of a target hospital.
As a preferred solution, the acquiring method of the medical imaging device set corresponding to each fault type includes: comparing the image quality qualification index of each medical image device with a preset image quality qualification index reference range, if the image quality qualification index of a certain medical image device does not belong to the preset image quality qualification index reference range, the image quality of the medical image device is disqualified, each medical image device with disqualified image quality is counted, a medical image device set corresponding to the image quality fault type is constructed, and similarly, according to an analysis method of the medical image device set corresponding to the image quality fault type, the medical image device set corresponding to the working state fault type and the medical image device set corresponding to the safety performance fault type are obtained, and further the medical image device set corresponding to each fault type is obtained.
As a preferable scheme, the loss coefficients of the specified medical imaging devices are analyzed by the following steps: extracting the historical maintenance times and the historical part replacement times of each medical image device stored in the database, screening to obtain the historical maintenance times and the historical part replacement times of each appointed medical image device, and respectively marking the historical maintenance times and the historical part replacement times as，/>Indicate->Number of the designated medical imaging device, +.>。
Acquiring the use time and the use times of each appointed medical image equipment, and respectively marking the use time and the use times as。
By analysis of formulasObtaining the loss coefficient of each appointed medical imaging device>Wherein->Respectively representing the influence factors corresponding to the preset unit maintenance times and the unit part replacement times, < ->The thresholds of the preset use duration and the use number are respectively represented.
As a preferable scheme, the acquiring the medical image equipment set to be maintained comprises the following specific steps: comparing the maintenance requirement coefficient of each appointed medical image device with a preset maintenance requirement coefficient early-warning value, if the maintenance requirement coefficient of a certain appointed medical image device is larger than the preset maintenance requirement coefficient early-warning value, the appointed medical image device needs maintenance, counting each appointed medical image device needing maintenance, and constructing a medical image device set needing maintenance.
As a preferable scheme, the failure-free medical imaging device refers to the medical imaging device, wherein the image quality qualification index, the working state coincidence index and the safety performance qualification index of the medical imaging device are all in corresponding reference ranges.
According to the image quality qualification index, the working state conformity index and the safety performance conformity index of each medical imaging device, the fault medical imaging device and the medical imaging device to be maintained are counted, the fault device and the device with fault hidden danger are maintained and maintained respectively, the fault is prevented, the service life of the device is prolonged, the requirement for replacing the device is reduced, and the cost of a medical institution is reduced.
The database is used for storing standard images of a reference object and standard images of a monitoring area of a test object and storing historical maintenance records of each medical image device, wherein the historical maintenance records comprise historical maintenance times and historical part replacement times.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. An artificial intelligence-based medical device monitoring analysis management cloud system, comprising:
the medical imaging equipment image information acquisition module: the method comprises the steps of acquiring image information of each medical image device in a target hospital, wherein the image information comprises an image contrast coefficient, an image resolution coefficient and an image color reproducibility coefficient;
the medical image equipment image information analysis module: the image quality qualification index of each medical image device is analyzed according to the image information of each medical image device;
the medical imaging equipment working state monitoring module: the system comprises a monitoring module, a monitoring module and a control module, wherein the monitoring module is used for monitoring operation data of each medical image device, and the operation data comprises an image acquisition stability coefficient and an image acquisition rapidity coefficient;
the medical imaging equipment working state evaluation module: the system is used for evaluating the working state coincidence index of each medical image device according to the operation data of each medical image device;
medical imaging equipment security performance detection module: the safety performance parameters are used for detecting the safety performance parameters of each medical imaging device, wherein the safety performance parameters comprise radiation coefficients and appearance perfection coefficients;
the medical imaging equipment safety performance analysis module: the safety performance standard index of each medical image device is analyzed according to the safety performance parameters of each medical image device;
the medical imaging equipment comprehensive processing module: the system is used for counting and processing a medical image equipment set and a medical image equipment set to be maintained corresponding to each fault type according to the image quality qualification index, the working state coincidence index and the safety performance achievement index of each medical image equipment;
database: the system is used for storing standard images of a reference object and standard images of a monitoring area of a test object and storing historical maintenance records of each medical image device, wherein the historical maintenance records comprise historical maintenance times and historical part replacement times.
2. The artificial intelligence based medical device monitoring analysis management cloud system of claim 1, wherein: the specific analysis process of the image information acquisition module of the medical imaging equipment is as follows:
selecting a reference object according to a preset principle, acquiring images of the reference object shot by each medical image device, and recording the images as analysis images of each medical image device;
the gray value of each pixel point in the analysis image of each medical image equipment is obtained by utilizing the image processing technology and is recorded as，Indicate->Number of individual medical imaging devices,/->，/>Indicate->Number of individual pixels>Acquiring gray values of adjacent pixels corresponding to the pixels in the analysis image of each medical imaging device, and marking the gray values as +.>，/>Indicate->Numbering of adjacent pixels, +.>The number of adjacent pixels corresponding to each pixel in the analysis image of each medical image equipment is obtained and is marked as +.>；
By analysis of formulasObtaining the image contrast ratio of each medical image deviceWherein->Representing a preset image contrast factor correction factor, < ->Representing a preset image contrast threshold;
acquiring the number of pixel points on each frame line and the length of each frame line in each medical image equipment analysis image, and respectively marking the number of pixel points and the length of each frame line as +.>And->，/>Indicate->Numbering of the border lines->By analysis of the formulaObtaining the image resolution coefficient of each medical image device>Wherein->Representing a preset image resolution factor correction factor, < ->Representing a preset image resolution threshold, +.>Representing the number of border lines of the analysis image;
acquiring RGB values of pixel points in analysis images of all medical imaging equipment, further acquiring all areas to be analyzed in the analysis images of all medical imaging equipment, and marking the RGB values of all the areas to be analyzed in the analysis images of all the medical imaging equipment as ++>，/>Indicate->Number of the individual regions to be analyzed,/->；
Extracting standard images of reference objects stored in a database, acquiring RGB values of corresponding areas of each area to be analyzed in the reference object standard images in each medical image equipment analysis image, and marking the RGB values as the RGB values of the corresponding areas in the reference object standard images；
By analysis of formulasObtaining the image color reproducibility coefficient of each medical imaging device>Wherein->Representing a predetermined image color reducibility factor correction factor,/->Representing a preset image color tolerance.
3. The artificial intelligence based medical device monitoring analysis management cloud system of claim 2, wherein: the specific analysis process of the medical imaging equipment image information analysis module is as follows:
image contrast ratio of each medical image equipmentImage resolution factor->And image color reducibility coefficientSubstitution formula->Obtaining the image quality qualification index of each medical image device>Wherein->Representing natural constant->Threshold values respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>Weights respectively representing preset image contrast coefficient, image resolution coefficient and image color reproducibility coefficient, +.>。
4. The artificial intelligence based medical device monitoring analysis management cloud system of claim 1, wherein: the specific analysis process of the medical imaging equipment working state monitoring module is as follows:
selecting a test object and a monitoring area of the test object according to a preset principle, enabling each medical imaging device to scan the monitoring area of the test object for a set number of times, analyzing the matching degree of each scanned image of each medical imaging device, and marking the matching degree as +.>，/>Indicate->Number of sub-scan,/->；
By analysis of formulasObtaining the image acquisition stability coefficient of each medical image device，/>Indicate->Medical imaging device->Matching degree of sub-scan image,/>A threshold value representing a deviation between preset scan image matching degrees;
acquiring the time length required by each medical imaging device to scan the monitoring area of the test object each time, and marking the time length as +.>；
By analysis of formulasObtaining a map of each medical imaging deviceImage acquisition rapidity coefficient->Wherein->Representing the required length of a single scan reference of a preset medical imaging device, < >>Indicating the allowable deviation of the preset scan required time period.
5. The artificial intelligence based medical device monitoring analysis management cloud system of claim 4, wherein: the specific analysis process of the medical imaging equipment working state evaluation module is as follows:
image acquisition stability coefficient of each medical image equipmentAnd image acquisition rapidity coefficient +.>Substitution formulaObtaining the working state coincidence index of each medical imaging device>Wherein->Indicating that the preset working state accords with the index correction factor.
6. The artificial intelligence based medical device monitoring analysis management cloud system of claim 1, wherein: the specific analysis process of the medical imaging equipment safety performance detection module is as follows:
setting the time length of a monitoring period, setting each sampling time point in the monitoring period according to a preset principle, acquiring the radiation dose of each medical imaging device at each sampling time point in the monitoring period by using a radiation measuring instrument, and recording the radiation dose as +.>，/>Indicate->Number of the sampling time points, +.>；
By analysis of formulasObtaining the radiation coefficient of each medical imaging device>Wherein->Represents the number of sampling time points, +.>Indicating a preset safe radiation dose +.>Indicate->The medical imaging device is +.>Radiation dose at each sampling time point;
the rust area and the damage area of the insulating sheath of the lead wire of each medical imaging device are obtained and respectively marked as +.>And->By analysis formula->Obtaining the appearance perfection coefficient of each medical imaging device>Wherein->Respectively representing the preset influence factors corresponding to the unit rusting area and the unit wire insulation cover breakage area.
7. The artificial intelligence based medical device monitoring analysis management cloud system of claim 6, wherein: the specific analysis process of the safety performance analysis module of the medical imaging equipment is as follows:
the emissivity of each medical imaging deviceAnd the appearance perfection coefficient->Substitution formula->Obtaining the safety performance of each medical imaging deviceIndex of reaching the standard->Wherein->Respectively representing weights of a preset radiation coefficient and an appearance perfection coefficient.
8. The artificial intelligence based medical device monitoring analysis management cloud system of claim 1, wherein: the analysis process of the medical imaging equipment comprehensive processing module is as follows:
acquiring a medical image equipment set corresponding to each fault type according to the image quality qualification index, the working state conformity index and the safety performance conformity index of each medical image equipment, and sending the medical image equipment set to an equipment fault management platform of a target hospital;
: acquiring each piece of medical imaging equipment without faults, recording the medical imaging equipment as each piece of appointed medical imaging equipment, acquiring the historical maintenance times, the historical part replacement times, the using time and the using times of each piece of appointed medical imaging equipment, analyzing to obtain the loss coefficient of each piece of appointed medical imaging equipment, and recording the loss coefficient as->，/>Indicate->Number of the designated medical imaging device, +.>；
According to the image quality qualification index, the working state coincidence index and the safety performance qualification index of each medical image device, screening to obtain the image quality qualification index, the working state coincidence index and the safety performance qualification index of each appointed medical image device, and respectively marking the image quality qualification index, the working state coincidence index and the safety performance qualification index as、/>And->；
By analysis of formulasObtaining the maintenance requirement coefficient of each appointed medical imaging device>Wherein->Threshold values respectively representing preset image quality qualification index, working state compliance index and safety performance compliance index, ++>Weight values respectively representing a preset image quality qualification index, a working state compliance index and a safety performance compliance index>；
According to the maintenance requirement coefficients of the appointed medical image equipment, acquiring a medical image equipment set to be maintained, and sending the medical image equipment set to an equipment maintenance management platform of a target hospital.
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